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<title>Publications </title>
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<div class="menu-category">Home</div>
<div class="menu-item"><a href="index.html">About me</a></div>
<div class="menu-category">Research</div>
<div class="menu-item"><a href="publication.html" class="current">Publications</a></div>
<div class="menu-item"><a href="software.html">Software</a></div>
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<h1>Publications </h1>
<div id="subtitle"><a href="https://scholar.google.com/citations?user=Iz3m3v4AAAAJ&hl=en">[Google Scholar]</a></div>
</div>
<ul>
<li><p>Journal Papers (arXiv)</p>
<ul>
<li><p><a href="https://arxiv.org/abs/2212.10817">High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting</a><br />
<b>Ke Wang</b>, Mariya Doneva, Jakob Meineke, Thomas Amthor, Ekin Karasan, Fei Tan, Jonathan I. Tamir, Stella X. Yu, Michael Lustig <br />
Magnetic Resonance in Medicine.</p>
</li>
<li><p><a href="https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.29227">High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss</a><br />
<b>Ke Wang</b>, Jonathan I Tamir, Alfredo De Goyeneche, Uri Wollner, Rafi Brada, Stella Yu, Michael Lustig <br />
Magnetic Resonance in Medicine.</p>
</li>
<li><p><a href="https://www.pnas.org/doi/abs/10.1073/pnas.2117203119">Implicit data crimes: Machine learning bias arising from misuse of public data</a><br />
Efrat Shimron, Jonathan I Tamir, <b>Ke Wang</b>, Michael Lustig <br />
arXiv preprint arXiv:2109.08237 Proceedings of the National Academy of Sciences, 119(13), e2117203119.</p>
</li>
<li><p><a href="https://arxiv.org/abs/2103.04003">Memory-efficient Learning for High-Dimensional MRI Reconstruction</a> (<b>Accepted by MICCAI 2021</b>)<br />
<b>Ke Wang</b>, Michael Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig<br />
arXiv preprint arXiv:2103.04003</p>
</li>
<li><p><a href="https://arxiv.org/abs/2103.04566">OUTCOMES: Rapid Under-sampling Optimization achieves up to 50% improvements in reconstruction accuracy for multi-contrast MRI sequences</a><br />
<b>Ke Wang</b>, Enhao Gong, Yuxin Zhang, Suchadrima Banerjee, Greg Zaharchuk, John Pauly <br />
arXiv preprint arXiv:2103.04556</p>
</li>
<li><p><a href="https://onlinelibrary.wiley.com/doi/10.1002/mrm.28569">CG‐SENSE revisited: Results from the first ISMRM reproducibility challenge</a><br />
Oliver Maier, Steven H. Baete, Alexander Fyrdahl, Kerstin Hammernik, Seb Harrevelt, Lars Kasper, Agah Karakuzu, Michael Loecher, Franz Patzig, Ye Tian, <b>Ke Wang</b>, Daniel Gallichan, Martin Uecker, Florian Knoll <br />
Magnetic Resonance in Medicine, 85(4), 1821-1839</p>
</li>
<li><p><a href="https://arxiv.org/pdf/1809.01318.pdf">Reconstruction and Registration of Large-Scale Medical Scene Using Point Clouds Data from Different Modalities</a><br />
<b>Ke Wang</b>, Han Song, Jiahui Zhang, Xinran Zhang, and Hongen Liao <br />
arXiv preprint arXiv:1809.01318</p>
</li>
<li><p><a href="https://ieeexplore.ieee.org/abstract/document/8962390">Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging</a><br />
Jonathan I. Tamir, Frank Ong, Suma Anand, Ekin Karasan, <b>Ke Wang</b>, Michael Lustig <br />
IEEE Signal Processing Magazine, 37(1), 94-104.</p>
</li></ul>
</li>
<li><p>Conference</p>
<ul>
<li><p><a href="https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_Semi-Supervised_Parametric_Real-World_Image_Harmonization_CVPR_2023_paper.pdf">Semi-supervised Parametric Real-world Image Harmonization</a> <br />
<b>Ke Wang</b>, Michaël Gharbi, He Zhang, Zhihao Xia, Eli Shechtman <br />
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Canada, 2023.</p>
</li>
<li><p>Rigorous Uncertainty Estimation for MRI Reconstruction <br />
<b>Ke Wang</b>, Anastasios Angelopoulos, Alfredo De Goyeneche, Amit Kohli, Efrat Shimron, Stella X. Yu, Jitendra Malik, Michael Lustig <br />
In proceedings of the 31th ISMRM Annual Meeting and Exhibition, United Kingdom, 2022 <b>(Oral)</b></p>
</li>
<li><p>ResoNet: Physics Informed Deep Learning based Off-Resonance Correction Trained on Synthetic Data <br />
Alfredo De Goyeneche, Shreya Ramachandran, <b>Ke Wang</b>, Ekin Karasan, Stella X. Yu, Michael Lustig <br />
In proceedings of the 31th ISMRM Annual Meeting and Exhibition, United Kingdom, 2022 <b>(Oral)</b></p>
</li>
<li><p>BladeNet: Rapid PROPELLER Acquisition and Reconstruction for High spatio-temporal Resolution Abdominal MRI <br />
Efrat Shimron, Alfredo De Goyeneche, <b>Ke Wang</b>, Ali B. Syed, Shreyas Vasanawala, Michael Lustig <br />
In proceedings of the 31th ISMRM Annual Meeting and Exhibition, United Kingdom, 2022 <b>(Oral)</b></p>
</li>
<li><p>Memory-efficient Learning for Highdimensional MR Reconstruction <br />
<b>Ke Wang</b>, Michael Kellman, Christopher Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu and Michael Lustig <br />
In proceedings of the 30th ISMRM Annual Meeting and Exhibition, Canada, 2021</p>
</li>
<li><p>Subtle Inverse Crimes: Naively using publicly available images could make reconstruction results seem misleadingly better! <br />
Efrat Shimron, Jonathan I. Tamir, <b>Ke Wang</b> and Michael Lustig <br />
In proceedings of the 30th ISMRM Annual Meeting and Exhibition, Canada, 2021 <b>(Oral)</b> </p>
</li>
<li><p>A Gpu-accelerated Extended Phase Graph Algorithm for Differentiable Optimization and Learning <br />
Somnath Rakshit, <b>Ke Wang</b>, and Jonathan I. Tamir <br />
In proceedings of the 30th ISMRM Annual Meeting and Exhibition, Canada, 2021 </p>
</li>
<li><p>DSLR+: Enhancing Deep Subspace Learning Reconstruction for High-dimensional MRI <br />
Christopher Sandino, Frank Ong, <b>Ke Wang</b>, Michael Lustig and Shreyas S. Vasanawala. <br />
In proceedings of the 30th ISMRM Annual Meeting and Exhibition, Canada, 2021 <b>(Oral)</b> </p>
</li>
<li><p>High-Fidelity Reconstruction with Instance-wise Discriminative Feature Matching Loss <br />
<b>Ke Wang</b>, Jonathan I. Tamir, Stella X. Yu, Michael Lustig <br />
In proceedings of the 29th ISMRM Annual Meeting and Exhibition, France, 2020 <b>(Oral)</b></p>
</li>
<li><p>High Fidelity Direct-Contrast Synthesis from Magnetic Resonance Fingerprinting in Diagnostic Imaging <br />
<b>Ke Wang</b>, Mariya Doneva, Thomas Amthor, Vera C. Keil, Ekin Karasan, Fei Tan, Jonathan I. Tamir, Stella X. Yu, Michael Lustig <br />
In proceedings of the 29th ISMRM Annual Meeting and Exhibition, France, 2020 <b>(Oral)</b></p>
</li>
<li><p><a href="https://ieeexplore.ieee.org/document/8857309">Non-Invasive Remote Temperature Monitoring Using Microwave-Induced Thermoacoustic Imaging</a> <br />
Hao Nan, Aidan Fitzpatrick, <b>Ke Wang</b>, Amin Arbabian <br />
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 6375-6378. <b>(Oral)</b></p>
</li>
<li><p>Unsupervised Learning for Improved Fidelity Multi-contrast MRI <br />
<b>Ke Wang</b>, Frank Ong, Jonathan I Tamir, and Michael Lustig <br />
In proceedings of the 28th ISMRM Annual Meeting and Exhibition, Canada, 2019</p>
</li>
<li><p>Real-time Personalized Acquisition Optimization: 30%-50% reconstruction improvements from a 10-second undersampling optimization <br />
<b>Ke Wang</b>, Enhao Gong, Suchandrima Banerjee, John M Pauly, and Greg Zaharchunkt <br />
In proceedings of the 27th ISMRM Annual Meeting and Exhibition, France, 2018</p>
</li>
<li><p>Ultrafast Temperature Estimation from Undersampled K-space for MR Guided Microwave Ablation <br />
<b>Ke Wang</b>, Zijing Dong, Fuyixue Wang, Bingyao Chen, Jiafei Yang, Xing Wei, and Kui Ying <br />
In proceedings of the 27th ISMRM Annual Meeting and Exhibition, France, 2018</p>
</li>
<li><p>Fast Temperature Estimation Using Golden Angle Radial from Undersampled K-space for MR Guided Microwave Ablation <br />
<b>Ke Wang</b>, Zijing Dong, Fuyixue Wang, Bingyao Chen, Jiafei Yang, Xing Wei, and Kui Ying <br />
In proceedings of the 26th ISMRM Annual Meeting and Exhibition, USA, 2017</p>
</li>
</ul>
</li>
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